ABSTRACT
Cuckoo search algorithm (CSA) is an effective and highly reliable swarm intelligence based optimization approach. It is a technique of determining the most efficient, low cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. This paper presents a comprehensive review of CSA application in Economic Load Dispatch (ELD) problem. This review will assist power system engineers with a view to enhancing the optimal operation of available thermal plants in electrical power systems.
Keywords: Cuckoo search algorithm; swarm intelligence; economic load dispatch; electrical power system; thermal plants; optimization approach
John, A (2019). Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review. Afribary.com: Retrieved March 04, 2021, from https://afribary.com/works/9794-article-text-17835-2-10-20190313
Adeniran, John. "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review" Afribary.com. Afribary.com, 14 Jul. 2019, https://afribary.com/works/9794-article-text-17835-2-10-20190313 . Accessed 04 Mar. 2021.
Adeniran, John. "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review". Afribary.com, Afribary.com, 14 Jul. 2019. Web. 04 Mar. 2021. < https://afribary.com/works/9794-article-text-17835-2-10-20190313 >.
Adeniran, John. "Cuckoo Search Algorithm Optimization Approaches for Solving Economic Load Dispatch: A Review" Afribary.com (2019). Accessed March 04, 2021. https://afribary.com/works/9794-article-text-17835-2-10-20190313